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This paper is concerned with the image enhancement technique for the mixed illumination variant images by applying the stochastic resonance (SR) using the auto-tuning process. This process works properly in the dark and very low contrast images as well as bright images. The process was performed by adding randomly the noise and threshold in an image by manual tuning. The random addition of the noise and threshold lacks the effectiveness and is time consuming for manual tuning. In this paper, we developed a system that works on the images with the mixture of darkness and brightness. The SR is applied by combining the logical AND with the stochastic resonance. We also present the idea of auto-tuning of the summation iteration with random noise and threshold value by using the process related to the histogram calculation or mean median and mode. The combination of the logical AND with the SR and the idea of auto-tuning of SR reflects the novelty of our paper. We performed various experiments on various types of images under different conditions and confirmed the effectiveness of our image enhancement technique.

A Robust Image Enhancement System for Illumination Variant Image based on Auto-tuning Stochastic Resonance